Capabilities
iEconomics
What sets our work apart
The quality of economic analysis is ultimately determined by the capabilities behind it — the methods deployed, the data handled, the technology leveraged, and the judgement applied. Our capabilities have been built through years of hands-on work across competition proceedings, regulatory reviews, and strategic engagements, and they reflect a deliberate investment in the infrastructure that underpins rigorous, defensible economic analysis.
INTUITIVE ECONOMICS
Our capabilities
Economic questions demand quantitative answers. Our analytical practice spans the full spectrum of empirical techniques — from foundational statistical testing to structurally estimated econometric models — deployed according to the specific requirements of each engagement.
Whether the task involves identifying the effects of firm conduct on market outcomes, quantifying damages in litigation, constructing counterfactual scenarios, simulating the competitive effects of a merger, or producing forward-looking forecasts, we select and calibrate the methodology to fit the question, the data environment, and the evidentiary standard at hand. Where traditional econometric approaches benefit from the predictive strengths of machine learning and data science methods, we integrate both within a unified analytical framework — combining the interpretability and causal rigour of econometrics with the pattern recognition and scalability of modern data science.
Strong economic analysis requires more than sound theoretical frameworks or publicly available statistics. It requires the ability to bring all three dimensions together — economic theory, public data, and confidential business data — into a single, coherent analytical narrative.
Our team has extensive experience working directly with real business data: internal records, cost structures, transaction-level detail, and operational metrics. Our analytical infrastructure handles large-scale datasets with millions of observations just as effectively as qualitative business intelligence, integrating both within the right economic framework. This versatility bridges the gap between what economic models predict, what market-level data suggests, and what actually happens inside companies.
The result is empirical work that is theoretically grounded, factually precise, and built to scale — analysis that resonates with economists, regulators, and business decision-makers alike.
Recurring analytical challenges — from market definition to competitive effects estimation — benefit from standardised, rigorously tested tools that ensure consistency and efficiency across engagements. We have developed a suite of proprietary analytical instruments built to the highest methodological standards, refined continuously through practical application, and designed to accelerate the delivery of high-quality analysis without compromising on rigour.
These tools allow us to reduce turnaround times on standard analytical tasks, maintain reproducibility across cases, and focus expert time where it adds the most value: on interpretation, strategy, and the economic questions that require bespoke treatment.
Advanced analytical tools — including artificial intelligence — have transformed the speed and scale at which data can be processed. We fully embrace these capabilities and integrate them into our workflows to enhance efficiency, pattern recognition, and the handling of complex datasets.
Yet the value of economic analysis has never resided in computation alone. It lies in judgement: selecting the right theoretical framework, interpreting results within their proper institutional and market context, identifying what the data does not say, and constructing a narrative that withstands scrutiny. These are tasks that require experienced economists, not algorithms.
Technology amplifies expertise. It does not replace it. Our approach harnesses the full potential of modern analytical tools while ensuring that every output is shaped by economic reasoning and professional accountability.
Understanding the competitive landscape requires more than market share tables. We conduct in-depth financial and competitive assessments that examine firm-level performance, cost positioning, profitability dynamics, and strategic behaviour in the context of the broader market environment.
These assessments serve a range of purposes — from identifying competitive vulnerabilities and opportunities ahead of a transaction, to evaluating the financial viability of market participants in a regulatory proceeding, to stress-testing strategic alternatives in response to market disruptions. Our approach combines financial analysis with economic reasoning, ensuring that conclusions are grounded in both the numbers and the competitive logic that drives them.
Standard economic models assume rational, fully informed decision-making. Markets, however, are shaped by how people actually behave — and the gap between the two can be significant. We draw on insights from behavioural economics to enrich our analysis where consumer or firm behaviour departs from classical assumptions in ways that matter for the case at hand.
This includes analysing how framing effects, switching costs, default biases, and information asymmetries influence consumer choice and competitive outcomes. In practice, behavioural insights strengthen our work in areas such as market definition, merger effects analysis, and the assessment of potentially exploitative practices — adding an empirically grounded dimension that brings analysis closer to observed market realities.
Economic analysis achieves its purpose only when it is effectively communicated to its intended audience — whether a competition authority, a court, a regulatory body, or a board of directors. We have extensive experience translating complex quantitative findings into clear, persuasive, and legally admissible expert evidence.
Our work in this area covers the preparation of expert economic reports, written and oral testimony before competition authorities and courts, responses to statements of objections and information requests, and the presentation of economic arguments in regulatory hearings. We understand the evidentiary standards and procedural expectations of the forums in which our analysis is used, and we structure our deliverables accordingly — precise in substance, accessible in form, and built to withstand adversarial challenge.
Economic questions are often inherently spatial. We integrate geospatial analysis into our practice to bring precise geographic granularity to competition and regulatory assessments, moving beyond administrative boundaries to construct empirically grounded geographic markets based on actual consumer behaviour, travel patterns, and the spatial distribution of competitive alternatives.
This is particularly valuable in merger reviews involving retail, healthcare, energy infrastructure, and transport networks, where the precise delineation of local competitive conditions can be decisive.
Our geospatial capabilities extend well beyond competition cases, informing a wide range of applications: site selection and network optimisation, infrastructure impact assessment, catchment area analysis, logistics and supply chain mapping, and the spatial modelling of market potential and consumer demand.
Fully integrated with our quantitative and econometric toolkit, geospatial analysis allows us to combine geographic intelligence with economic rigour within a single, coherent analytical framework.